Mahvash Vaghari - Iranian actress. Article "مهوش وقاری" in Persian Wikipedia has 14.8 points for quality (as of November 1, 2023). The article contains 2 references and 9 sections.
In October 2023 the article "مهوش وقاری" was edited by 3 authors in Persian Wikipedia (3826th place) and written by 3 authors in all languages.
Since the creation of article "مهوش وقاری", its content was written by 33 registered users of Persian Wikipedia and edited by 33 registered Wikipedia users in all languages.
The article is cited 78 times in Persian Wikipedia and cited 78 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Persian: #41 04.2021 |
Global: #16222 04.2021 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In Persian Wikipedia the most popular articles on that day were: مست عشق (فیلم), مترجم گوگل, دیجیکالا, حسن صباح, رضا رشیدپور, روشهای آمیزش جنسی, اعتیاد جنسی, ترانه علیدوستی, آمیزش جنسی بدون دخول, دیوار (وبگاه).
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(12.2+1.34+9.09+40.91+10.66)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
